Google has announced new strides in making AI accessible for every enterprise, highlighting its fastest model yet, Gemini 1.5 Flash. This model is optimized for high-volume and high-frequency tasks at scale, and companies like Jasper.ai are already leveraging it to enhance user experiences.
However, Google's vision extends beyond just providing great models. They are building a holistic ecosystem that makes it easy to access, evaluate, and deploy these models at scale. Some key updates include:
* **Expanding the Model Garden:** The inclusion of open models like Meta’s Llama 3.1 and Mistral AI’s latest models, available as a fully managed “Model-as-a-service,” provides users with more options to find the perfect fit for their needs.
* **Breaking down language barriers:** Gemini 1.5 Flash and Gemini 1.5 Pro can now understand and respond in 100+ languages, making it easier for a global audience to interact in their native languages.
* **Predictable performance:** The general availability of Provisioned Throughput in Vertex AI, coupled with a 99.5% uptime service level agreement (SLA), ensures reliability and performance.
* **Scaling AI, not costs:** Improvements to Gemini 1.5 Flash reduce input costs by up to ~85% and output costs by up to ~80%. Features like context caching further optimize costs for long context queries.
These enhancements demonstrate Google's commitment to providing an AI ecosystem that makes enterprise-scale AI accessible to all.
